IBM is the second-largest Predictive Analytics and Machine Learning solutions provider globally (source: The Forrester Wave report, September 2018). A joint partnership with Simplilearn and IBM introduces students to integrated applied learning, making them experts in AI and Data Science. The Data Science course in Reading and in collaboration with IBM will make students industry-ready for AI and Data Science job roles.
According to the Forrester Wave report, September 2018, IBM is the world’s second-largest Predictive Analytics and Machine Learning solutions provider. Simplilearn along with IBM, will introduce students to the new-age concept of integrated applied learning, helping them gain expertise in AI and Data Science at an accelerated pace. With the Data Science course in Reading, in collaboration with IBM, makes students ready for careers in data science and AI-related industries.
IBM, headquartered in Armonk, New York, is a premier cognitive solutions and cloud platform company, which offers a wide range of technology and consulting services. IBM invests $6 billion annually into research and development. The company has won five Nobel prizes, five US National Medals of Science, six Turing Awards, nine US National Medals of Technology, and 10 inductions into the US Inventors Hall of Fame.
What will these Data Science courses developed in collaboration with IBM give me?
After you complete the Data Scientist course in Reading, certificates from IBM for the specific courses and Simplielarn for others will be unlocked for you. These certificates, earned from the Data Science training in Reading, verify your skills as a Data Science expert, and show that you’ve finished your Data Science training in Reading. You will also gain:
Data Scientist is one of today’s most popular professions. IBM predicts Data Scientist’s demand will increase by 28% in 2020. The comprehensive Data Science course in Reading, in collaboration with IBM, will help you ace the advanced skills like hypothesis testing, regression models (including linear and logistic regression models), data mining, data wrangling and data visualization, statistics, clustering, decision trees, PROC SQL, Hadoop, SAS Macros, Spark, supervised and unsupervised learning, and many others.
This Data Scientist training in Reading, co-developed with IBM, deals with extensive Data Science training, fusing online instructor-led classes and self-paced learning. The program ends with a capstone project made to reinforce your extensive learning by creating a real industry product that encompasses all of the key aspects you learned throughout the program. These skills will prepare you for the role of a Data Scientist.
Our bootcamp program offering Data Science training in Reading comes with 15 real-life industry projects based on different domains. These projects help you master concepts of Data Science and Big Data. Here are a few of the projects:
Capstone Project:
Description: You will go through dedicated mentor classes to create a high-quality industry project, solving a real-world problem by leveraging the skills and technologies learned throughout the program. The capstone project in this data science course in Reading covers all the key points of data extraction, cleaning, and visualization, to model building and tuning. You will also be able to choose the domain/industry dataset you wish to work on, based on the options available.
Upon submitting the project you will be receive a capstone certificate that will act as a testament to your expanded learning and skills from this data science training in Reading.
Project 1: Products rating prediction for Amazon
Domain: E-commerce
Amazon, one of the leading US-based e-commerce companies, typically recommends products that fall in the same category to customers, based on the latter’s activity and reviews of similar products. Amazon wants to improve this recommendation engine by expanding it to predict ratings for the non-rated products and adding them to customer recommendations accordingly.
Project 2: Improving customer experience for Comcast
Domain: Telecom
Description: Comcast, one of the leading US-based global telecommunication companies, wants to improve their customers’ experience by identifying problem areas that lower customer satisfaction, and act on these issues. The company is also seeking key recommendations that they can implement to deliver the best customer experience.
Project 3: Attrition Analysis for IBM
Domain: Workforce Analytics
Description: IBM, one of the leading US-based IT companies, wants you to identify the factors that influence employee attrition. Based on the parameters identified, the company also wants to build a logistics regression model that helps predict employee churn rate.
Project 4: Predict accurate sales for 45 Walmart stores, considering the impact of promotional markdown events. Walmart is one of the leading US-based retail stores. Determine if macroeconomic factors like CPI, unemployment rate, etc., impact sales.
Domain: Retail
Description: Walmart runs many promotional markdown events during the year. The markdowns typically precede prominent holidays and events like the Super Bowl, Labor Day, Thanksgiving, and of course, Christmas. The weeks where these holidays fall are weighted five times higher in valuation than ordinary weeks. The business, however, is facing a challenge due to unexpected demand, resulting in stocks running out at times, exacerbated by inaccurate demand estimation. Macroeconomic factors like CPI, Unemployment Index, etc. also play an important role in predicting demand, but the company hasn’t yet been able to leverage these factors. Part of this project requires creating a model to highlight the effects of the markdowns on holiday weeks.
Project 5: Learn how the top healthcare industry leaders make use of Data Science to improve their business.
Domain: HealthCare
Description: Predictive analytics can be used in many different aspects of healthcare, such as mediating hospital readmissions. Regardless of the industry, predictors are most useful when they can be turned into action. In other words, historical and real-time data alone are worthless without the company making a move. More importantly, in order to judge the value and efficiency of forecasting a trend and ultimately altering behavior, both the predictor and the intervention must be incorporated back into the same workflow and system where the trend originally began.
Project 6: Grasp how Insurance leaders like AIG, AXA, Berkshire Hathaway, etc., use Data Science by working on an insurance-based real-life project in this data science course in Reading.
Domain: Insurance
Description: According to the 2013 Insurance Predictive Modeling Survey, predictive analytics has increased greatly in the insurance industry, especially for the biggest companies. Although the survey showed an increase in predictive modeling across the industry, every company that writes over $1 billion in personal insurance employs predictive modeling, compared to just 69% of the companies who deal with less than that premium amount.
Project 7: See how large banks like Bank of America, Citigroup, ICICI, HDFC, etc. use Data Science to stay ahead of the competition.
Domain: Banking
Description: A Portuguese banking institution conducted a marketing campaign to give potential customers incentive to invest in a bank term deposit. The bank’s marketing campaigns were conducted via phone calls. However, sometimes the same customer was contacted more than once. Your job is to analyze all the data collected from this marketing campaign.
Project 8: Learn how stock markets like NASDAQ, NSE, and BSE leverage Data Science and Analytics to derive consumable data from complex datasets.
Domain: Stock Market
Description: You must import data using Yahoo data reader from the following companies: Apple, Amazon, Microsoft, Google, and Yahoo. You must then perform fundamental analytics functions, such as performing daily return analysis, plotting stock trade by volume, plotting closing price, and using pair plot to show the stocks’ correlations.
Project 9: Understand how Data Science is used in the field of engineering by engaging in this case study of MovieLens Dataset Analysis.
Domain: Engineering
Description: The GroupLens Research Project is a research group in University of Minnesota’s Department of Computer Science and Engineering. The group’s researchers are involved in several research projects related to the fields of collaborative filtering, information filtering, and recommender systems.
Project 10: See how top retail companies like Amazon, Walmart, Target, etc. utilize Data Science to analyze and optimize their product placements and stock inventory.
Domain: Retail
Description: Companies use Analytics to optimize product placements on their shelves or optimize the inventory in their warehouses. Through this project, participants learn the daily cycle of product optimization from the shelves to the warehouse. This gives them insights into regular occurrences in the retail sector.
Data Scientists require a mixture of experience, data science knowledge, and the correct tools and technologies. It’s a strong career choice ideal for both new and experienced professionals alike. If you come from an analytics background you can easily fit into the Data Science course in Reading for positions, including:
Any learner looking to extract the best value out of Simplilearn’s Data Scientist Course in Reading, would need to possess;
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This Tableau certification course helps you master Tableau Desktop, a world-wide utilized data visualization, reporting, and business intelligence tool. Advance your career in analytics through our Tableau training and gain job-ready skills. Tableau certification is highly regarded by companies for data-related jobs and our Tableau online course trains you to use the tool effectively for preparing data, creating interactive dashboards, adding different dimensions, and drilling into outliers.
Simplilearn’s Data Science Capstone project will give you an opportunity to implement the skills you learned in the Data Science certification course. Through dedicated mentoring sessions, you’ll learn how to solve a real-world, industry-aligned Data Science problem, from data processing and model building to reporting your business results and insights. The project is the final step in Data Science training and will help you to show your expertise in Data Science to employers.
Our Data Scientist course is comprehensive, and this certificate demonstrates that you have made significant progress in mastering the area.
Working on projects, simulations, and case studies has given you the knowledge and Data Science abilities to put you ahead of the competition.
Tell your friends and coworkers about your Data Science certification by posting it on LinkedIn, Twitter, and Facebook, or boost your resume.
Data science is a vast topic that entails working with massive amounts of data to find hidden trends and patterns and extract useful information to help decision-making. Companies employ various data science tools and methodologies to develop predictive models as a service as they collect vast volumes of data. Data Science courses from Simplilearn will help you learn all the ideas from the ground up.
If you're a novice or intermediate in Data Science, you'll need to master many ideas. A Data Science course is a six to twelve-month training program led by industry specialists to assist applicants in developing a solid foundation in the discipline. Our online Data Science certification course incorporates virtual laboratories, industrial projects, interactive quizzes, and practice examinations in addition to the academic content, enhancing your learning experience.
A data scientist collects, cleans, analyses, and visualizes enormous datasets to derive relevant findings and present them to executives. The data is gathered from numerous sources, transformed into an analysis-ready format, and fed into an analytics system, where it is statistically analyzed for actionable insights.
Data science comprises numerous abilities that professionals may already have earned via a job or educational experience, despite its new designation. That is a valid issue in most other academic and commercial fields. There are considerably more vital accreditations you could and should obtain before "hanging your shingle" or trying to reconfigure your set of skills or profession in fields like banking or technology. Data science is a large field with just a few certification programs. Many of these programs, however, are too expensive. If you want to work as a Data Scientist, it's the most excellent way to impress potential employers and demonstrate your knowledge.
Data scientists must also be familiar with and have experience in reproducibility, decision-making, and collaborating with stakeholders and executives. As a result, pursuing a second (or third) degree may not be ideal for professionals interested in breaking into data science. They must still express their experience, talents, and gained knowledge to prospective employers to be successful.
It would be best if you now had a good idea of what Data Science Certifications are and how they may help you advance in your profession. All you have to do now is check over all the different certificates and choose the one that would provide you with the most excellent benefits.
These Data Science courses co-developed with IBM will give you an insight into Data Science tools and methodologies, which is enough to prepare you to excel in your next role as a Data Scientist. You will earn an industry-recognized certificate from IBM and Simplilearn that will attest to your new skills and on-the-job expertise. This Data Science certification training will make you learn R, Python, Machine Learning techniques, data reprocessing, regression, clustering, data analytics with SAS, data visualization with Tableau, and an overview of the Hadoop ecosystem.
Professionals who do not have any prior knowledge of the field can easily begin with this Data Science certification training course as you’ll gain a thorough knowledge of the basic concepts as well.